Instructions to use Avdpro/FlashHead-Pro-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/FlashHead-Pro-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FlashHead-Pro-MLX Avdpro/FlashHead-Pro-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download wav2vec2/preprocessor_config.json from Avdpro/FlashHead-Pro-MLX: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
-
https://huggingface.co/Avdpro/FlashHead-Pro-MLX/resolve/main/wav2vec2/preprocessor_config.json
- Command line
-
hf download hf://Avdpro/FlashHead-Pro-MLX/wav2vec2/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Avdpro/FlashHead-Pro-MLX/resolve/main/wav2vec2/preprocessor_config.json
159 Bytes
| { | |
| "do_normalize": true, | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |